IntrusionNet: Deep Learning-Based Hybrid Model for Detection of Known and Zero-Day Attacks

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Authors: Sarmad Dheyaa Azeez, Saadaldeen Rashid Ahmed, Muhammad Ilyas, Abu Saleh Musa Miah, Fahmid Al Farid, Hezerul Abdul Karim
Cited by: 3

Abstract

Traditional Intrusion Detection Systems (IDSs) that rely on fixed signatures or basic machine learning often struggle with sophisticated, multi-stage cyberattacks and previously unknown threats. To fix these problems, this pa... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Network Security and Intrusion Detection Anomaly Detection Techniques and Applications Imbalanced Data Classification Techniques

Publication details

Journal / source
Computers, materials & continua/Computers, materials & continua (Print)
Publisher
Tech Science Press
Volume
0
Issue
0
Pages
1–10
Publication date
1 January 2026
Language
EN